OOM Software Instructional Videos

Below you will find a variety of instructional videos for the Observation Oriented Modeling (OOM) software. A good place to start is with the first two videos which explain the ideas behind the software and provide an overview of the program's structure and functionality. In separate tables below these two introductory videos you will find more specific videos organized into two categories: General Videos and Specific OOM Analysis Videos. You will also find a table connecting OOM analyses to common statistical procedures such as t-tests, chi-squares, and ANOVAs. This latter table will help you to see how traditional statistical analyses can be replaced by an OOM analyses.

Introductory Videos

Watch these two videos to gain an understanding of the guiding principles behind OOM as well as the overall structure of the Windows program.

Video Title Description
OOM: What is it? How does it work? Why should I use it? As the title indicates, this video explains the general theory and philosophy guiding OOM. It also briefly explains how OOM differs from traditional statistics and shows a number of example analyses.  (~15 minutes in length)
Getting beyond NHST (the p-value) Why should psychologists and other social scientists abandon the common p-value (NHST)? Briefly, NHST is used to draw inferences to population parameters and requires random sampling to be successful; yet, most psychologists and social scientists do not even attempt to draw random samples. They are therefore clearly seeking a different inference, and in this video we argue it is the Inference to Best Explanation that is being sought. OOM provides the means for seeking such an inference.  (~10 minutes in length)
A first look at the OOM software Provides a brief overview of the OOM software's structure and functionality.


General Videos

These videos offer general information about OOM's structure and functionality. For example, here you'll find videos about how the program installs to your computer, how to run OOM on a Mac, and how to navigate the Data Edit and Text and Graphics Output windows.

Video Title Description
Installation & Overview Explains how OOM installs onto your PC. The User's Manual installs with the program in Word and Adobe Acrobat format, and a large number of OOM example data files install automatically as well.  This video also provides a general overview of the OOM software's structure and functionality.  (~5 minutes)
Running OOM on a Mac Demonstrates how to use Winebottler, a free program, to run OOM on a Macintosh computer. There is no separate Mac version of OOM, so the program must be run through a PC emulator such as Winebottler. (~ 9 minutes)
Data Edit Window Toolbar Explains the functions of the various tool buttons on the toolbar of the Data Edit window.  (~ 5 minutes)
Data Edit Window Sub-Toolbar Explains the functions of the various tool buttons on the sub-toolbar of the Data Edit window. (~ 5 minutes)
Text Output Window Describes the different features in the Text Output window, including how fonts can be changes and how the number of decimals in numeric output printed can be changed. (~ 6 minutes) 
Graphics Output Window Describes how graphs are created, viewed, edited, and saved in OOM. Also demonstrates how graphs can be exported to MS Powerpoint for editing. (~ 6 minutes)
Data Entry #1
Data Entry #2
Data Entry #3
These videos demonstrate how data are entered and labeled in the OOM software. Labeling units of observation is very important in OOM as this is tantamount to determining the Deep Structure of the data. Most analyses are based on the Deep Structures of the data.  These videos also include descriptions of the Define Orderings window and the Auto Generate options for defining units of observation. (~4 to 8 minutes in length)
Deep Structure Explains the concept of Deep Structure in OOM and gives several examples. (~ 5 minutes)


Specific OOM Analysis Videos

These videos demonstrate the primary analysis features of the OOM software such as the Build/Test Model, Ordinal Analysis and Efficient Cause Analysis options.

OOM Analysis Analysis Description Related Materials
Pattern Analysis: Crossed Observations This analysis allows you to test a specific pattern of observations within a two-dimensional matrix. This may be useful, for example, in comparing two groups on a rating scale. You must specify the predicted pattern before running the analysis.  Here is an example defined pattern:

  Scale Rating
     1 2 3 4 5 6
     + + + O O O Group 1
     O O O + + + Group 2   (+ indicates expected rating)
Grice, 2015 publication demonstrating this analysis.
Ordinal Analysis: Concatenated Orderings This analysis allows you to examine ordinal differences across two or more orderings. This may be useful, for example, in analyzing changes in quantities over time, such as with a pre- and post-test study design. Normally, you will specify the predicted ordinal pattern before running the analysis. Here is an example defined pattern in which quantities are expected to decrease from pre-test to post-test:

     |  Post-Test
     |  |
     +  O Highest
     O  + Lowest    (+ indicates expected ordinal pattern)



OOM Equivalent Analyses for Traditional Statistical Procedures

     Select instructional videos are organized here according to their comparisons with traditional statistical procedures such as t-tests, chi-square, and ANOVA.

Traditional Statistical Procedure Analysis Goal OOM Analysis
Independent samples t-test Compare two independent groups regarding an observed quality; e.g., compare men and women on their observed levels of introversion, or compare experimental and control groups with regard to their number of eye-blinks while watching a video clip. Pattern Analysis : Crossed Observations ( a priori predicted pattern)
Build/Test Model (post hoc pattern exploration)
Between-Subject ANOVA